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Practical AI and cloud engineering, candid developer-relations lessons, and what it takes to build communities that last.
The current situation around the world forcing us to stay at home and re-invent online conferences, offers us the opportunity to make events more accessible for community members who are deaf or hard of hearing. The past six months I have been involved in co-producing multiple online conferences that offered signed language interpretation.
Read articleA few weeks ago the NDI feature in Teams became available. This is great news as it gives event organizers the opportunity to use Teams as a conversation platform and use another tool, like OBS of vMix to manage and brand the output and stream it to a platform of their choosing, like YouTube or Vimeo.
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The past year our usergroup has been experimenting with streaming events and creating videos afterwards. In this article you find the setup that we found working the best for us. We looked at setup time, portability of set, quality of stream and the costs. The setup we landed on consists of 3 parts that you can buy for around 500 dollars.
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Over the past years I had the privilege to run many MeetUps for different tech usergroups. In this article I want to share my experience on how I try to make my meetups welcoming and friendly for everyone. Many of the points are lessons learned others are tips and tricks I picked up during other MeetUps or during discussions.
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In this session you will learn every detail about the Face API an API that can detect and describe faces found in images, but also can be used for face identification.
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In this session we take a deep-dive into the DevOps process that comes with Azure Machine Learning service, a cloud service that you can use to track as you build, train, deploy and manage models. We zoom into how the data science process can be made traceable and deploy the model with Azure DevOps to a Kubernetes cluster.
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In this session we do a deep dive into the A.I. stack that Microsoft has to offer. We start with pre-trained Cognitive services like Computer Vision, Anomaly Detection and Speaker recognition. And move on to the more advanced tooling like Machine Learning Studio and Azure Machine Learning Services.
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This blogpost contains links to the materials used in my presentations on Ignite Tel Aviv 2019.
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This blogpost contains links to the materials used in my presentations on Ignite Toronto 2019.
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This year I will be joining Ignite 2017 in Orlando. I'm very excited and hope to meet a lot of people and get a boost of inspiration and knowledge. The main reason I'm going is to find out what is new in the world of AI. The aim is to get information about Cognitive Service, Machine learning and bots
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May 2017 I went with my colleague Daniel van der Starre to Microsoft Build 2017 in Seattle. Build is a 3 day conference hosted by Microsoft to inform developers about what is going on in developers world at Microsoft. During…
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An overview of some inspiring sessions about Cognitive Services from Build 2017...
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Code and Comedy is Ordina's yearly event. Mixing technical talks and standup comedy make this a event one of kind. During the event I gave a small breakout session about the power of the Microsoft Cognitive Services. Slides Code A…
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